Semantic Parsing on UCCA Wiki in-domain (test)
80.5Primary Labeled F-scoreJiang et al. (2019)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Jiang et al. (2019)2019.09 | 80.5 | — | — | — | — | — | |
| attention-based neural transducer2019.09 | 76.6 | — | — | — | — | — | |
| attention-based neural transducernode labels=w/o non-terminal node labels2019.09 | 75.7 | — | — | — | — | — | |
| Hershcovich et al. (2018)Learning setup=MTL2019.09 | 74.3 | — | — | — | — | — | |
| TUPABiLSTMDecoding Strategy=Greedy, Feature Type=Neural (BiLSTM)2017.04 | 73.5 | 74.4 | 72.7 | 47.4 | 51.6 | 49.4 | |
| Hershcovich et al. (2018)Learning setup=single2019.09 | 71.2 | — | — | — | — | — | |
| Hershcovich et al. (2017)2019.09 | 71.1 | — | — | — | — | — | |
| LSTM ParserApproximation Method=Bilexical Tree Approximation (Dependency Tree Parsers), Decoding Strategy=Greedy2017.04 | 69.9 | 73.2 | 66.9 | — | — | — | |
| TUPAMLPDecoding Strategy=Greedy, Feature Type=Neural (MLP)2017.04 | 64.9 | 65.2 | 64.6 | 23.7 | 13.2 | 16.9 | |
| TUPAsparseDecoding Strategy=Greedy, Feature Type=Sparse2017.04 | 64.1 | 64.5 | 63.7 | 19.8 | 13.4 | 16 | |
| UPARSEApproximation Method=Tree Approximation (Constituency Tree Parser), Decoding Strategy=Beam Search (size 4)2017.04 | 61.1 | 60.9 | 61.2 | — | — | — | |
| MaltParserApproximation Method=Bilexical Tree Approximation (Dependency Tree Parsers), Decoding Strategy=Greedy2017.04 | 60.2 | 62.8 | 57.7 | — | — | — | |
| DAGParserApproximation Method=Bilexical Approximation (Dependency DAG Parsers), Decoding Strategy=Beam Search (size 5)2017.04 | 58.6 | 61.8 | 55.8 | 9.5 | 0.5 | 1 | |
| TurboParserApproximation Method=Bilexical Approximation (Dependency DAG Parsers), Decoding Strategy=Greedy2017.04 | 51.2 | 57.7 | 46 | 77.8 | 1.8 | 3.7 |